At a Glance
- Tasks: Dive into data science, building models and visualising insights with cutting-edge tools.
- Company: Join Hitachi Digital Services, a global leader in digital transformation and innovation.
- Benefits: Enjoy flexible work arrangements, industry-leading benefits, and a focus on your wellbeing.
- Other info: Be part of a diverse team that values your unique perspective and fosters creativity.
- Why this job: Make a real impact on the world while working with talented innovators.
- Qualifications: Proficiency in Python, SQL, and a degree in Mathematics or related field.
The predicted salary is between 20000 - 30000 £ per year.
Our Company
We're Hitachi Digital Services, a global digital solutions and transformation business with a bold vision of our world's potential. We're people‑centric and here to power good. Every day, we future‑prove urban spaces, conserve natural resources, protect rainforests, and save lives. This is a world where innovation, technology, and deep expertise come together to take our company and customers from what's now to what's next. We make it happen through the power of acceleration.
Mandatory Skills
- Python
- SQL
- Data Science with Mathematics degree
Role Description
A detail‑oriented Data Scientist with strong proficiency in Python, Pandas, R/RStudio, SQL, STATA, Power BI, and Flourish Studio. The ideal candidate has a solid foundation in mathematics (statistics, linear algebra, calculus) and hands‑on experience building and deploying machine learning models. You will work across the full data pipeline — from wrangling and analysis to visualization and predictive modeling. A degree in Mathematics, Statistics, Computer Science, or a related quantitative field is preferred.
About Us
We're a global team of innovators. Together, we harness engineering excellence and passion to co‑create meaningful solutions to complex challenges. We turn organizations into data‑driven leaders that can make a positive impact on their industries and society. If you believe that innovation can bring a better tomorrow closer to today, this is the place for you.
Fostering innovation through diverse perspectives
Hitachi is a global company operating across a wide range of industries and regions. One of the things that sets Hitachi apart is the diversity of our business and people, which drives our innovation and growth. We are committed to building an inclusive culture based on mutual respect and merit‑based systems. We believe that when people feel valued, heard, and safe to express themselves, they do their best work.
Benefits
How we look after you: We help take care of your today and tomorrow with industry‑leading benefits, support, and services that look after your holistic health and wellbeing. We're also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We're always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you'll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with.
We're proud to say we're an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.
Intern - Cloud & Data Specialist (67651) employer: Hitachi Digital Services
At Hitachi Digital Services, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through comprehensive training programs and opportunities for advancement within our global network. Located in a vibrant urban setting, we provide a unique chance to engage in meaningful projects that contribute to sustainable development and digital transformation.
StudySmarter Expert Advice🤫
We think this is how you could land Intern - Cloud & Data Specialist (67651)
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.
✨Apply Directly on Our Website
Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.
We think you need these skills to ace Intern - Cloud & Data Specialist (67651)
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at Hitachi Digital Services will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at Hitachi Digital Services
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress Hitachi Digital Services.
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show Hitachi Digital Services that you’re not just looking for experience, but that you're keen to contribute and grow within the team.